Towards sensing urban-scale COVID-19 policy compliance in new york city

T Chowdhury, A Bhatti, I Mandel, T Ehsan… - Proceedings of the 8th …, 2021 - dl.acm.org
Big data on the urban scale can enable many applications for improving city life and provide
a more holistic understanding of urban life to researchers. While there are approaches to …

Toward pervasive computer vision for intelligent transport system

GR Leone, A Carboni, S Nardi… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The Smart Passenger Center (SPaCe) is a fully integrated platform that aims to overcome
the complexity of centralized management of public transport infrastructure and vehicles …

A Novel Smart Camera Network for Real Time Public Transport Monitoring and Surveillance

A Carboni, GR Leone, S Nardi… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
In this paper, we present the environment perception layer of the Smart Passenger Center
(SPaCe), a novel integrated framework for public transport management. This layer is a …

AI-Driven Vehicle Recognition for Enhanced Traffic Management: Implications and Strategies

N Van Cuong, MT Aziz - AI, IoT and the Fourth Industrial …, 2023 - scicadence.com
Traffic management and monitoring play pivotal roles in modern urban planning and
transportation systems. As urbanization continues to grow, efficient traffic control becomes …

Demo Abstract: Crowd analysis with infrared sensor arrays on the Smart city edge

Y De Bock, B Braem, D Subotic, M Weyn… - … -IEEE Conference on …, 2019 - ieeexplore.ieee.org
Smart cities infrastructure is currently highly centralised, relying on data centers or cloud
technology to tackle diverse application requirements. To reduce the transmission latency …

Introduction to the Special Issue on Trustworthy Multimedia Computing and Applications in Urban Scenes

W Liu, H Shi, Y Wei, D Zeng, N Sebe… - ACM Transactions on …, 2023 - dl.acm.org
The fast spread of urbanization has significantly improved how people live, but it has also
created important issues such as traffic jams, high energy usage, crime, and pollution …

Smart city traffic intersection: Impact of video quality and scene complexity on precision and inference

Z Duan, Z Yang, R Samoilenko, DS Oza… - 2021 IEEE 23rd Int …, 2021 - ieeexplore.ieee.org
Traffic intersections are prime locations for deployment of infrastructure sensors and edge
computing nodes to realize the vision of a smart city. It is expected that the needs of a smart …

Technical and economic feasibility assessment of a cloud-enabled traffic video analysis framework

T Huang, A Sharma - Journal of Big Data Analytics in Transportation, 2020 - Springer
Computer vision techniques are expected to significantly improve the development of
intelligent transportation systems (ITS), which are anticipated to be a key component of …

Computer vision and multi-object tracking for traffic measurement from campus monitoring cameras

Y Pi, N Duffield, AH Behzadan… - Computing in Civil …, 2021 - ascelibrary.org
Conventional methods of traffic monitoring primarily rely on sensors, on-board GPS, and
human observation, which are generally resource-intensive, slow, and subject to …

[PDF][PDF] Crowdsourced smart cities

B Iannucci, A Rowe - Intelligent Transportation Systems (ITS) …, 2017 - ppms.cit.cmu.edu
The vision of applying computing and communication technologies to enhance life in our
cities is fundamentally appealing. Pervasive sensing and computing can alert us to imminent …